Table of Contents

• Empirical Study of Social Bias in Medical Question Answering via Large Language ModelsXiao Xiao, Jiaxu Zhao 0002, Terry R. Payne, Meng Fang. 3-16 [doi]
• Prompt Injection is All You Need: A Systemic Framework for Evaluating Healthcare Misinformation in LLMsNur Alesha Zahra, Zad Chin. 17-29 [doi]
• Beyond Accuracy: Enhancing Parkinson's Diagnosis with Uncertainty Quantification of Machine Learning ModelsAsif Azad, Md. Saiful Islam 0013, Mohammed E. Hoque 0001, M. Saifur Rahman. 33-46 [doi]
• Feature Extraction from Medical Records to Increase the Accuracy of Intracranial Aneurysm Rupture LikelihoodJulia Zakaszewska, Justyna Fercho, Piotr Fonferek, Katarzyna Konieczna, Hanna Lisowska, Jakub Sadowy, Daria Binerowska, Maciej Pestka, Michalina Dudra, Weronika Jagielo, Klaudia Kokot, Dariusz Szplit, Jacek Szypenbejl, Tomasz Szmuda, Mariusz Sieminski, Patryk Jasik. 47-56 [doi]
• Automated Gross Tumor Volume Segmentation in Meningioma Using Squeeze and Excitation Residual U-Net for Enhanced Radiotherapy PlanningBoitumelo Matlala, Dustin van der Haar, Hima Vadapalli. 57-67 [doi]
• Ensemble Models for Real-Time Fetal Monitoring Using Discrete Segmentation of CardiotocographyMuhammad Usama Faheem, Rudy Lapeer, Beatriz de la Iglesia, Rahul Gore, Rowan Connell, Wenjia Wang. 68-81 [doi]
• Knowledge Distillation for Computationally Tractable Brain Tumour Segmentation in Sub-saharan AfricaGage Nott, Hima Vadapalli, Dustin van der Haar. 82-95 [doi]
• MICA: A Multimodal Intelligent Cognitive Assessment Framework Integrating Generative AI and Social Robot for Early Cognitive InterventionMohamed Adlan Ait Ameur, Erfu Yang, William J. McGeown, Yin-Ping Zhang. 96-109 [doi]
• Transfer Learning-Based Classification of Diabetic Retinopathy Using a Pre-trained InceptionResNet ModelSuhad Malayshi, Ahmad Hassasneh. 110-124 [doi]
• Markers of Fibromyalgia: Classification and Subtyping Using Self-reported MeasuresDelnia Alipour, Olga Perepelkina, Simone Stumpf. 125-138 [doi]
• Early Objective ASD Screening System Based on Eye-Tracking and Machine LearningSara Vecino, Gloria Acevedo-Diaz, Daniel Fernández Lanvin, Javier de Andrés, Martín González Rodríguez. 139-153 [doi]
• Performance Comparison of Machine Learning Models for the Prediction of Dialysis Treatment VariablesA. Nicosia, Nunzio Cancilla, E. Di Liberti, José D. Martín-Guerrero, Yolanda Vives-Gilabert, A. Ferrantelli, F. Iacono, Valerio M. B. Brucato, Vincenzo La Carrubba, Ilenia Tinnirello, Andrea Cipollina. 157-170 [doi]
• Dynamic and Explainable Mortality Risk Prediction for TBI Patients in the ICUA Hasitha Kuruwita, Shu-Kay Ng, Alan Wee-Chung Liew, Kelvin Ross, Brent Richards, Kuldeep Kumar, Luke J. Haseler, Ping Zhang 0008. 171-184 [doi]
• Opportunistic Screening of Osteoporosis from Dental Panoramic Radiographs Using Deep LearningDivya Biligere Shivanna, Roopa S. Rao, Tushar Patil, Lichingngamba Tensubam, Sowmya Gujjar Vishnu Rao, Ashok Lingappa. 185-199 [doi]
• Speech Breathing Under Cognitive Load: A Pilot Study of English and Arabic Bilingual Adaptation Using the Helicopter TestHajar Chadli, Biao Zeng, Xiaoyu Zhou. 200-212 [doi]
• Affective State and Pain Estimation Through Facial Emotion AnalysisAsaju Christine Bukola, Hima Vadapalli. 213-226 [doi]
• Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose MatchingJonas Leo Mueller, Alexander Weiss, Bjoern M. Eskofier. 227-241 [doi]
• Translating Genes into Insight: Causal Genomics for Diabetes Risk PredictionSheresh Zahoor, Pietro Lió, Gaël Dias, Mohammed Hasanuzzaman. 245-262 [doi]
• A Machine Learning-Based Surrogate Model of a Hemodialyzer for the Prediction of the Urea Dialyzer ClearanceAngelo Giordano, Nunzio Cancilla, José D. Martín-Guerrero, Yolanda Vives-Gilabert, Michele Ciofalo, Giorgio Micale, Alessandro Tamburini. 263-276 [doi]
• CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and SegmentationFarheen Ramzan, Yusuf Kiberu, Nikesh Jathanna, Shahnaz Jamil-Copley, Richard H. Clayton, Chen Chen. 279-292 [doi]
• DiabEye-Q: AI-Driven Longitudinal Analysis of Ophthalmoscopic Images for Early Diabetes Prediction in Qatari AdultsSulaiman Khan, Md. Rafiul Biswas, Zubair Shah. 293-306 [doi]
• Concept Type Prompt Patterns for Automated Medical Reporting in HealthcareChayenne van de Graaf, Tom Huibers, Wishnu Prasetya, Sjaak Brinkkemper. 309-323 [doi]
• Exploring Applicability of Text-to-Image Models for Generating Aphasia Rehabilitation MaterialMihir Mulye, Stefan Conrad 0001, Stefan Knecht. 324-338 [doi]
• Evaluating the Feasibility of Using Smaller Large Language Models for Generating Impressions from Findings in Radiology ReportsMargarita Deli-Slavova, Julian Hough. 339-350 [doi]
• A Comparison of Potentials and Limitations of Transformer Models for Aspect-Based Medical Sentiment AnalysisYihan Deng, Kerstin Denecke. 353-366 [doi]
• Intelligent Blood Product Management in Hospital: A Data-Driven Model for Optimizing Platelet InventoryYuan Zhu, Cord Spreckelsen, Maximilian Schilling, Sasanka Potluri. 367-380 [doi]
• High-Confidence Labelling of Pathology Reports Using LLM-Based Unanimous Ensembles with Limited DataThomas Greatrix, Frank C. Langbein, Roger M. Whitaker, Gualtiero B. Colombo, Liam D. Turner. 381-395 [doi]
• Physicochemical-Based Deep Learning for Allergenicity PredictionCharalambos Chrysostomou. 396-407 [doi]
• Multi-modal Deep Learning with Spatial Transformers for Biparametric MRI Prostate Cancer ClassificationCharalambos Chrysostomou, Constantinos Dovrolis. 408-421 [doi]
• BCONDS: Borderline Counterfactual Oversampling with Noise Elimination and Density ScoringAsifa Mehmood Qureshi, Abhishek Kaushik 0002, Róisín Loughran, Fergal McCaffery. 422-432 [doi]